Reinforcement learning is the training of machine learning models in which it is used to make a sequence of decisions. In a potentially complex environment, the agent learns to achieve a goal with uncertainty. Reinforcement learning is a game-like situation where the computer applies trial and error to come up with a solution to the problem. To get the machine to do what the programmer wants, the artificial intelligence gets either rewards or penalties for the actions it performs. Its goal is to maximize the total reward. Read more..
What is reinforcement learning in AI?
